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RescalePixels


Module: FoundationLite

Applies linear transformation to pixel values.

Name Type Description
Input value
inImage Image Input image
Input value
inRoi Region* Range of pixels to be processed
Input value
inA Real Value multiplied
Input value
inB Real Value added
Output value
outImage Image Output image

Description

The operation applies linear transformation to pixel values.

\[{\forall _{i,j} }{\bf{outImag} }{ {\bf{e} }_{ {\rm{i} },{\rm{j} } } }{\rm{ = } }{\bf{inA} }\cdot{\bf{inImag} }{ {\bf{e} }_{ {\rm{i} },{\rm{j} } } }{\rm{ + } }{\bf{inB} }\]

Whenever the resulting value exceeds the range of pixel values, it is clipped to the nearest proper value.

Hardware Acceleration

This operation is optimized for SSE2 technology for pixels of types: UINT8, SINT8, SINT16, REAL.

This operation supports automatic parallelization for multicore and multiprocessor systems.

Errors

This filter can throw an exception to report error. Read how to deal with errors in Error Handling.

List of possible exceptions:

Error type Description
DomainError Region exceeds an input image in RescalePixels.

Complexity Level

This filter is available on Basic Complexity Level.

See Also

  • ResaturateImage – Sets pixels below the low value to minimum, above the high value to maximum, and interpolates the rest.
  • AddToImage – Adds a scalar value to each pixel.
  • NormalizeImage – Rescales an image linearly, so that its minimum becomes inNewMinimum and the maximum of the remaining pixels becomes inNewMaximum.